Alexandre C. Coutinho Embrapa Monitoramento por Satélite PROCAM - USP BURNINGS OCCURENCY DYNAMCS IN THE STATE OF MATO GROSSO
ACCURACY ESTIMATION OF BURNING DATA MUNICIPALITY BASED ANALYSIS MULTIVARIATED ANALYSIS - PRINCIPAL COMPONENTS FIRST COMPONENT CLASSIFICATION DYNAMICS CHARACTERIZATION PROCEDURES
ACCURACY ESTIMATION OF BURNING DATA of 47 images spatial resolution - 60m geometrical resolution - 90m (1,5 pixel) 2000 / images spatial resolution - 30m geometrical resolution - 50m
burnings confidence level of 95% confifdence interval of 5% 2000 / burnings confidence level of 95% confifdence interval of 5% SAMPLE de de NOAA - 12 ACCURACY ESTIMATION OF BURNING DATA
Stratified analysis based on distance Identify geometric correction and commission errors radius 1,5km; 3,0km and 6,0km around the coordinate ACCURACY ESTIMATION OF BURNING DATA
1,5km 6,0km 3,0km 6,0km ACCURACY ESTIMATION OF BURNING DATA
COMMISION ERROR ? ACCURACY ESTIMATION OF BURNING DATA
COMMISION ERROR ?
ACCURACY ESTIMATION OF BURNING DATA COMMISSION ERROR ?
MUNICIPALITY BASED ANALYSIS
MUNICIPALITY BASED ANALYSIS
MUNICIPALITY BASED ANALYSIS
MUNICIPALITY BASED ANALYSIS
MUNICIPALITY BASED ANALYSIS
MUNICIPALITY BASED ANALYSIS
MUNICIPALITY BASED ANALYSIS
MUNICIPALITY BASED ANALYSIS
MUNICIPALITY BASED ANALYSIS
MULTIVARIATED ANALYSIS - PRINCIPAL COMPONENTS data normalization Factor 1 explains 77,59%
Din. progressiva acelerada Inc. de qmd. extremamente alta Din. progressiva moderada Inc. de qmd. alta Din. estável Inc. de qmd. moderada Din. estável Inc. de qmd. baixa Din. Regressiva fraca Inc. de qmd.muito baixa LEGENDA DYNAMICS CHARACTERIZATION